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Data Scientist Cover Letter Examples For 2024 (20+ Skills & Templates)

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Looking to score a job as a Data Scientist?

You're going to need an awesome cover letter. This guide is your one-stop-shop for writing a job-winning Data Scientist cover letter  using our proven strategies, skills, templates, and examples.

All of the content in this guide is based on data from coaching thousands of job seekers (just like you!) who went on to land offers at the world's best companies.

If you want to maximize your chances of landing that Data Scientist role, I recommend reading this piece from top to bottom. But if you're just looking for something specific, here's what's included in this guide:

• What To Know About Writing A Job-Winning Data Scientist Cover Letter
• The Best Skills To Include On A Data Scientist Cover Letter

How To Address A Data Scientist Cover Letter

• 3 Data Scientist Cover Letter Examples

The 8 Best Data Scientist Cover Letter Templates

3 tips for writing a job-winning data scientist cover letter.

Here's the step-by-step breakdown:

Data Scientist Cover Letter Overview: What To Know To Write A Cover Letter That Wins More Job Offers

What do companies look for when they're hiring a Data Scientist?

Companies want Data Scientists with strong technical skills in programming languages like Python or R. They also want candidates skilled in data manipulation, statistical analysis, and machine learning models.

Companies are also seeking data scientists who possess problem-solving skills and can extract actionable insights from large datasets.

Your cover letter should show the company that your personality and your experience encompass all of these things.

Additionally, there are a few best practices you want to follow to write a job-winning Data Scientist cover letter:

• Properly address your letter: Begin your letter by addressing the hiring manager or team. Don't forget to state the specific Data Scientist job you are interested in!
• Express your understanding of the company: Clearly articulate that you are well-familiarized with the company's products and the market, and tie this up with your skills, demonstrating how they align with their needs.
• Highlight your skills: Showcase your most relevant skills for the role, such as proficiency in relevant programming languages, analysis, machine learning, AI, and more.
• Tailor your cover letter for the job description: Emphasize your experience to meet the job requirements listed in the description.
• Be concise and clear: Your cover letter should be short and easy to read. Keep it to one page and focus on the good stuff!
• End with a call to action: Close with an effective call to action, expressing enthusiasm for the opportunity and inviting further discussion on how you can contribute to the company's success.
• Proofread: Make sure to thoroughly proofread your cover letter for any grammatical errors or typos. A well-written, error-free letter can make a strong first impression. I recommend using Hemingway App or Grammarly to do this.

Let's dive deeper into each of these, so you have the exact blueprint you need to see success.

The Best Data Scientist Skills To Include On Your Cover Letter

Keywords are one of the most important factors in your cover letter. They show employers that your skills align with the role, and they also help format your cover letter for Applicant Tracking Systems (ATS).

If you're not familiar with ATS systems, they are pieces of software used by employers to manage job applications. They scan cover letters for keywords and qualifications and make it easier for employers to filter and search for candidates whose qualifications match the role.

If you want to win more interviews and job offers, you need to have a keyword-optimized cover letter. There are two ways to find the right keywords:

1. Leverage The 20 Best Data Scientist Keywords

The first is to leverage our list of the best keywords and skills for a Data Scientist cover letter.

These keywords were selected from an analysis of  real Data Scientist job descriptions sourced from actual job boards. Here they are:

• Data Science
• Communication
• Machine Learning
• Engineering
• Cross-Functional
• Organization
• Collaboration
• Decision Making

2. Use ResyMatch.io To Find The Best Keywords That Are Specific To Your Cover Letter And Target Role

The second method is the one I recommend because it's personalized to your specific cover letter and target job.

This process lets you find the exact keywords that your cover letter is missing when compared to the individual role you're applying for.

Here's how it works:

• Open a copy of your updated Data Scientist cover letter
• Open a copy of your target Data Scientist job description
• In the widget below, paste the job description and hit scan!

ResyMatch is going to scan the target job description and show you the exact keywords and skills that are relevant to the role and that you should weave into your cover letter.

If you're ready to check it out, grab your target job description and run your first scan here:

To start, paste your target job description (or multiple job descriptions) into the box below:

Scan to help you identify keywords and skills within your target job description.

Scanning...

If you're more of a visual learner, here's a video walking through this whole process so you can follow along:

Personalization is what makes a cover letter stand out. That starts from the very first sentence where you greet the person reading your cover letter! There are two ways to do this well:

1. Use The Hiring Manager's Name

The first, and best, is by including the hiring manager's name. Let's say that you discovered the hiring manager's name from a post on LinkedIn or via an informational interview.

This is the jackpot! All you need to do is use their name in the introduction, like this:

2. Use This Formula: To The [Department] Team at [Company]

If you don't have the hiring manager's name, no problem! You can address your cover letter to the team that you're applying to.

For example, if you're applying for a Product Marketing Manager role at Discovery Education, you might start your cover letter like this:

This shows the reader that this letter has been written specifically for them and the content inside of it will support that.

It's much more relevant and personal than  “To Whom It May Concern!”

For more advice on writing a strong opening to your cover letter, check out this guide.

3 Data Scientist Letter Examples For 2024

Now let's take a look at all of these best practices in action. Here are three cover letter examples for different situations from people with different backgrounds who are all applying for Data Scientist roles:

Data Scientist Cover Letter Example #1: A Traditional Background

Our first example is a cover letter written by a candidate with traditional experience. Here is what an example of their cover letter might look like:

Data Scientist Cover Letter Example #2: A Non-Traditional Background

Our second cover letter example comes from a candidate looking to transition from a background in sales to a Data Scientist role. This cover letter demonstrates how the author identifies and communicates their transferable skills:

Data Scientist Cover Letter Example #3: Data Scientist New Grad

Our third example highlights a new grad who's worked on several self-initiated projects. Here is what their cover letter might look like:

At this point, you know all of the basics you'll need to write a Data Scientist cover letter that wins you more interviews and offers. The only thing left is to take all of that information and apply it to a template that's going to help you get results.

We made that easy with  our CoverBuild tool . It has 8 proven templates that were created with the help of recruiters and hiring managers at the world's best companies. These templates also bake in thousands of data points we have from the job seekers in our audience who have used them to land job offers.

Just click any of the templates below to start building your cover letter using proven, recruiter-approved templates:

Free Job-Winning Cover Letter Templates, Have AI Write Yours in Less Than 2 Minutes .

Choose a cover letter template below to get started:.

Great Choice! Now, how do you want to write your cover letter?

Let AI write your unique cover letter using our proven templates.

Or use our templates to write your own from scratch.

You're off to a strong start! But I've got a few more tips to help you take your cover letter to the next level:

1. Use CoverBuild.io To Write Your Cover Letter In <2 Minutes

All of these tips and best practices work, but you still have to implement them. Normally, that'd mean you sitting down and spending hours brainstorming ideas, typing, deleting, and typing again, and then feeling absolutely drained.

Now there's a way to work around all of that so you save your best energy for the writing and edits that matter most. Here's how it works:

• Head to CoverBuild.io
• Select the “2 Minutes” option to have AI write your cover letter
• Select a template for your cover letter, then follow the 3 step process for sharing info about your experience and the target job with CoverBuild's AI
• Click “Generate My Cover Letter” and watch the tool write a unique cover letter that's personalized to your experience and your target job!

To make it even easier, you can select a cover letter template from the widget below to get started:

If you'd like to see the process in action, here's a video walking through all of the steps above:

Note:  I do not recommend or advise that you simply copy and paste any AI-generated content and submit your application. You should always review, revise, and personalize the content yourself before applying.

2. Include Measurable Metrics And Outcomes

Too many job seekers only focus on the actions that they took and not the outcomes that resulted from those actions. As a hiring manager, it's impossible to differentiate between a dozen candidates who were all “Responsible for building applications to help achieve company goals.”

If you want to win, your cover letter should speak to the specific outcomes that you drove in previous roles. That could be:

• The accuracy of the predictive models you've developed
• The sales increase you've helped drive with data analysis
• The operational costs you helped reduce

These outcomes will show hiring teams what you're capable of and make your value crystal clear!

3. Match Your Cover Letter And Resume Design

They're the exact same car, down to the year, make, and model. The only difference is the way the product was presented. Like I said, quality impacts perceived value.

One of the best ways to boost the quality of your cover letter is to make it look clean, professional, and have it match your resume. That's why the resume templates in our resume builder tool match the cover letter templates in our cover letter builder:

If you use both tools to create your cover letter and your resume, your entire application is going to be top notch.

Key Takeaways To Wrap Up Your Job-Winning Cover Letter

You made it! We packed a lot of information into this post so I wanted to distill the key points for you and lay out next steps so you know exactly where to from here.

Here are the 5 steps for writing a job-winning Data Scientist cover letter:

• Start with a proven cover letter template from CoverBuild.io
• Use  ResyMatch.io to find the right keywords and optimize your cover letter for each role you apply to
• Start your cover letter with a personalized greeting for the hiring manager or team name
• Emphasize the measurable outcomes and value you drove in previous roles (include metrics!)
• Compare the draft of your cover letter to the examples on this page to make sure you're on the right path
• Use a tool like  Hemingway App or Grammarly to proofread your cover letter before you submit it

If you follow those steps, you're going to be well on your way to landing more Data Scientist interviews and job offers.

Now that your cover letter is taken care of, be sure to check out our guide on writing a job-winning Data Scientist resume (with examples!).

Paula Martins

Paula is Cultivated Culture's amazing Editor and Content Manager. Her background is in journalism and she's transitioned from roles in education, to tech, to finance, and more. She blends her journalism background with her job search experience to share advice aimed at helping people like you land jobs they love without applying online.

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5 Data Scientist Cover Letter Examples for 2024

• Data Scientist (DS) Cover Letter
• DS Internship
• Entry-Level DS
• Write Your DS Cover Letter

Data scientists like yourself don’t spend their days simply gathering and analyzing data—this job is much more nuanced. 

Leveraging industry expertise and scientific methods, you meticulously analyze extensive datasets across various fields to identify key results and metrics crucial for a company’s success.

As you look through  job descriptions  and dream of your next position, we know the last thing you want to spend time on is polishing your  data scientist resume  and writing a cover letter . Luckily, we’ve eased the process by writing five data scientist cover letter samples equipped with handy tips and an outline. Coupled with our free cover letter builder , you’ll be off to a great start.

Data Scientist   Cover Letter Example

USE THIS TEMPLATE

Microsoft Word

Google Docs

Block Format

Copy this text for your Data Scientist cover letter!

7728 SW. Made-up St. Monroe Township, NJ 08831 (123) 456-7890

January 23, 2023

Bonnie Wong, Hiring Manager Best Buy 1000 W 78th St Richfield, MN 55423

Dear Ms. Wong:

Best Buy has been my go-to company for the most reputable brands and innovative tech products for years, and I’d love to apply my strengths as a data scientist toward helping you continue to enrich lives through technology. With a bachelor’s in statistics and a strong background in machine learning, AWS, and Python, I can analyze complex data to bring your strategies to the next level and positively influence key decisions that will affect customers.

My 4 years spent working as a data scientist at Spectrix Analytical Services rewarded me with the ability to mine vast amounts of data and apply scientific methods to analyze them with objective-specific focus and solve real-world business problems. I extracted data from 6 scattered sources, crystallizing the massive information volume into answers for difficult questions that provided business-wide insight. My user-friendly solutions also improved agility and scalability in the form of a centralized system for one of Spectrix’s manufacturing partners that boosted product output by 13%.

I also collaborated with a team of 5 other data scientists and 3 project managers, using Python and knowledge of production line infrastructures to revolutionize an e-commerce algorithm that tailors featured products around key customer browsing data. The production recommendation engine that I helped my team create dramatically improved customers’ time on-page, increasing conversion rates by 15% and growing annual profits by $430K.

My enriching professional experience, effective communication, and ability to apply a human touch to technology have made me an expert at translating complex scientific data into highly legible and reproducible machine learning systems. Please reach out to learn more about how I can develop innovative applications to better serve Best Buy’s customers and community.

Thank you for your consideration,

Howard Irvin

Enclosures: Resume Application

Why this cover letter works

• In your data scientist cover letter, establish a personal connection with the company and highlight that you’re already on the same page when it comes to their goals and values.
• If you’re drawing a blank on how to relate to the company, you can always find examples to reference in their job listing or website!
• The tone and content of your data scientist cover letter should establish a strong link with the company’s values and demonstrate that your work is impactful. 

Pair Your Cover Letter with a Matching Data Scientist Resume

or download as PDF

Level up your cover letter game

Relax! We’ll do the heavy lifting to write your cover letter in seconds.

Data Science Internship Cover Letter Example

Copy this text for your Data Science Internship cover letter!

123 Fictional Avenue New York City, NY 10001 (123) 456-7890

November 20, 2023

James Smith Google 123 Fictional Lane New York City, NY 10001

Dear Mr. Smith:

The adoption of robust data-driven strategies to accelerate business growth and operational efficiency by numerous firms globally underscores data science’s influence. Driven by a profound interest in this captivating interface and in line with Google’s long-established reputation as a frontrunner in data technology, I’m thrilled at the opportunity to contribute my skills as a data science intern at Google.

An internship at mParticle brought my academic background in data cleansing to life. Using prominent tools like Pandas for data wrangling and Keras for addressing missing data proved to be rather potent in successfully handling a dataset comprising thousands of entries. This experience led to a better understanding of practical data-preprocessing techniques and meaningfully contributed to a significant 18.7% reduction in error rates in our predictive models.

My academic journey at Pace University enabled me to master numerous Python libraries, such as pandas and scikit-learn, which I deployed to tackle complex data analysis problems and develop predictive models. One highlight of my coursework was creating a prediction model as a part of a project, leveraging Python to increase the efficiency of hypothetical marketing campaigns.

Similarly, my knack for data visualization with tools like Matplotlib and Seaborn was instrumental in an NYC science fair project. The project revolved around social media’s impact on teenage mental health. My effective visualization of insights from a dataset of 1,200+ social media usage logs was notable, going on to secure 3rd place in the citywide contest.

I’m excited to join Google’s data science team, harnessing my passion for data science, technical skills, and penchant for delivering actionable insights to drive Google’s next wave of innovations. Thanks for your time and consideration, and I look forward to delving deeper into my qualifications in an upcoming interview.

Sofia Kowalski

• Take the case of Sophia’s triumphant application of Matplotlib and Seaborn, earning her third place in a local competition. But even as you relive a similar experience, the skills and tools used should be relevant to the role.

Entry-Level Data Scientist Cover Letter Example

Copy this text for your Entry-Level Data Scientist cover letter!

123 Fictional Avenue Los Angeles, CA 90001 (123) 456-7890

Emma Johnson Amazon 123 Fictional Lane Los Angeles, CA 90001

Dear Mr. Johnson:

I’ve always been captivated by the sheer power of data. My inclination toward technology evolved into a passion for leveraging data to extract insights, armed with a Bachelor’s in computer science and a well-rounded exposure in statistical analysis, natural language processing, and more. I’m eager to apply my technical acumen alongside my teamwork skills to help Amazon navigate the data science landscape.

In my recent internship at a Los Angeles tech start-up, Sidebench, I relied heavily on predictive analytics and statistical analysis using tools like R and Python. My proficient data handling trimmed our model’s processing time by 13.7%. As part of a Scrum team, I successfully navigated convoluted datasets, eliminating over 34 hurdles that led to invaluable insights for our product strategy team.

I ventured into natural language processing in my senior year project at Loyola Marymount University. Using NLTK and spaCy, I built a sentiment analysis model on an extensive dataset of customer reviews, which enhanced review classification accuracy significantly. This experience validated my ability to draw actionable insights from unstructured data.

Further, my cloud computing skills were put to the test in a local hackathon, where I implemented an AWS solution that enhanced data retrieval speed by 13.9%, accounting for our team’s commendable second-place finish. This exposure helped me understand how scalable cloud solutions can revolutionize data management in the modern age.

Eager to explore the robust data science discipline at Amazon, I’m confident that my vibrant mix of technical expertise and teamwork skills will contribute to your data-driven approach. Please feel free to contact me for more discussions on how I could be a valuable addition to your team. Thank you for your consideration.

• Talk about the company you interned at (Cue Sidebench), the responsibilities you shouldered, the skills and tools used (cue predictive analytics and Python), and the measurable impact you made (in this case, cutting a model’s processing time by 13.7%). Alternatively, shine your spotlight on a personal or school project.

Senior Data Scientist Cover Letter Example

Copy this text for your Senior Data Scientist cover letter!

172 NW Fable Ave. New York, NY 12601 (123) 456-7890

Kelly Brown, Hiring Manager GrubHub 9374 Wellington Street Brooklyn, NY 11207

Dear Ms. Brown:

Who hasn’t loved GrubHub’s quick, reliable food delivery since the start of the pandemic? I’m one of countless customers you’ve reached, and I want to help streamline your business infrastructures with my software development, algorithm, and leadership skills. Restaurants truly do sit at the heart of communities, so as your next results-oriented senior data scientist, I’ll focus on growth and collaboration to bolster your teams’ success and customers’ satisfaction.

My master’s in computer science gave me a strong analytical and tech-based foundation for Python, SQL, and AWS—the skills that quickly became my passion during my decade of innovative growth at 2U. Using these tools, I analyzed the customer and industry data from a vast pool of disparate sources, identifying problems to solve and opportunities for improvement. After successfully optimizing user-targeted algorithms upon which countless digital courses hinged, I drove a 16% improvement in user feedback.

I also planned and conducted A/B testing to identify pain points and weaknesses in existing systems, distilling the volume of data I’d gathered via machine learning, user feedback, bounce rates, and customer retention statistics into understandable language and usable, efficient actions plans for 2U’s development teams. As a result, the company saw a reduction of 57 manual labor hours per month as well as a 14% increase in customer retention.

While my work has been exhilarating, I’m hungry for more complex challenges. As a self-directed senior data scientist who can make educated decisions in a fast-paced and ambiguous environment, I’m eager to leverage state-of-the-art machine learning to trailblaze new models and strategies. Thank you for considering me for this role, and I look forward to speaking soon about increasing GrubHub’s impact.

Jennifer Santos

Enclosures: Resume Application 2 letters of recommendation

• Mention your technical and goal-oriented alignment with the company alongside any personal connection. Look for opportunities to show you’re the right person for the job—especially when applying for senior roles.
• Read through the company site and  data scientist job listing , and then provide examples of you meeting those requirements that show why you already belong there! 

NLP Data Scientist Cover Letter Example

Copy this text for your NLP Data Scientist cover letter!

9070 Myth St. Kennewick, WA 99337 (123) 456-7890

William Sanchez, Hiring Manager Amazon 695 Elm Lane Gettysburg, PA 17325

Dear Mr. Sanchez:

As a genuine people person fascinated by diverse cultures, I believe I offer the qualities and characteristics you’re looking for in your next NLP data scientist. Of course, people skills are a fraction of what’s needed, and I’m excited to apply my combination of customer and back-end experience towards tackling tough language problems and providing Amazon with elegant solutions.

During my previous stint at Avenica, I leveraged A/B testing and machine learning to build a sleek automated system that assesses the quality and credibility of user reviews. I collaborated with multiple teams, primarily with the software engineering and data analysis departments, to improve the accuracy and performance of MT models company-wide, which further boosted the efficacy of the new automated system. My diligence in this area improved review accuracy and reliability by 21%.

I also built bridges between client-side and back-end functionality, between customer and company. By collaborating with teams and synthesizing and streamlining large volumes of data, I broke down the language in Avenica’s customer-facing features to pinpoint areas of lesser relevance. Using linguistic, machine learning, and machine translation skills to improve relevance, I helped the company see a 14% increase in customer return rates in multiple countries.

I’m eager to offer Amazon my expertise in machine translation, Python, advanced troubleshooting, and multi-level collaboration to design data-processing workflows that will collect, analyze, and prepare vast natural language data sets. I’d love to connect soon to provide additional information on how my cross-functional data analysis and linguistic prowess qualify me to assist Amazon’s International Search team and community.

With sincere thanks,

Marc McGrath

Enclosures: Resume Application Letter of recommendation AI & Machine Learning professional certification

• Focus on technical and collaborative experience with more complex achievements when applying for a nuanced role like an NLP data scientist.
• If the job description focuses more on  hard skills  (as it will for a data scientist!), then do the same while maintaining personality.
• Always do your research and pay attention to the focal points in the job description and company site; then, focus your NLP data scientist cover letter on defining traits from your research. 

Data Scientist Resume

Need a resume to pair with your data scientist cover letter?

How to Write a Cover Letter for a Data Scientist

Keep these key themes in mind while you showcase your best qualities as a data scientist. First, study the job description and research the company to determine which of your achievements are most relevant. Then, proofread thoroughly for tone and accuracy to ensure you’re sending the right message.

Customize your data scientist cover letter to the job

Way too many cover letters leave recruiters nodding off by the end of the first paragraph. One of the best ways to keep your data scientist cover letter from sounding boring and generic is to research the company and pay attention to the  job description . When you read through the website and job listing, look for specific needs or skills that stand out as strengths you have or things you’ve done before.

Fortunately, there’s plenty of scope available since the field is so broad, so look for tidbits like KPIs or testing systems that line up with your experience and achievements. Comb the company’s website for interpersonal values you can demonstrate in your cover letter—especially anything like collaboration, communication, or goals that reach across the globe. These will demonstrate your ability to think broadly.

Focus on a couple of data highlights

Data scientists are specifically known for their ability to assess massive amounts of data and hone in on the few points most relevant to their company. It’s imperative that you demonstrate this ability within your cover letter by picking a couple of career highlights to focus on and backing them up with key metrics.

Your cover letter should go beyond the bullet points in your  data science resume , but you don’t have room to tackle the details of more than one big accomplishment per paragraph. So, pick whatever’s most impressive—and what lines up with the company’s requests—to keep your cover letter under one page. 

When deciding what to write, ask yourself the following: 

• What company-wide testing systems did you develop, launch and maintain? 
• Did you vastly improve sales rates by gathering data via machine learning and translating the information into useful manufacturing improvement strategies? 
• How did you use data integration to streamline business practices that reduce the company’s manual labor hours to this day?

Match your tone to the company

While customizing your data scientist cover letter to the job description and company values will build an excellent foundation for you to showcase your most glowing accomplishments, your cover letter needs a little more. You must convey a cohesive, positive message.

Ensure the feel of your letter is in line with the company culture where you’re applying. If you’ve checked all the boxes by personally connecting with company values and providing concise examples with metrics, but it still doesn’t feel   right, circle back to the company website and job description to perfect your tone. Is the company culture more corporate and formal, or does it place more value on friendliness, personality, and community ethics?

Ensure the feel of your letter is in line with the company culture where you’re applying.

When you’ve settled on the right tone, dedicate time for revision: 

• Eliminate all typos and grammatical errors, and even write a few different versions that highlight different accomplishments to see which ones work best. 
• Revise, rewrite, and edit as much as you need to. You’ll thank yourself for it later when you get the response you’ve been waiting for!

Outline of a Data Scientist Cover Letter

There’s no need to stare at a blank screen; we’ve put together an outline for you, complete with examples that you can use to inspire your own cover letter.

How to start a data scientist cover letter

Your contact info:  Include your name, address, phone number, and email address (along with your LinkedIn or other professional social media) if you’re using a cover letter template.

• Formatting : Leave your name out of your address anytime you use a block format.

Date:  This should reflect your exact submission date, e.g., January 5, 2023.

• Formatting : Write out the full date instead of shortening it.

Inside address:  This one’s easy—it’s just the address of the person receiving your application materials. Always find and include their name, company and role, and address. 

• Formatting : Each part of the address should be on its own line. Also, make sure you double-space between the inside address and greeting.

Greeting:  Also known as the salutation, the greeting delivers a crucial first impression. As a data scientist, you’re a pro at digging and investigating, so put in the effort to find the name of the hiring manager or employer, and don’t even think about using generic, tired phrases like “To Whom It May Concern.” 

• Formatting : Don’t use a comma after your greeting—use a colon instead for professionalism. However, if the company is notoriously casual, a comma will do.

How to write your data scientist cover letter

Body:  The body of your data scientist cover letter should include three to four paragraphs that show your interest, credentials and qualifications, and enthusiasm for future discussion.

Opening paragraph:  Most cover letters are insufferably generic, so make sure yours shines. Review the following examples of opening paragraphs for data scientist cover letters to see how you can make yours attention-grabbing and effective.

I’ve had all kinds of experience as a data scientist, so you’d be crazy not to hire me! I can work with all kinds of people too, so I’d be a great team member at your company.

Why It’s Bad:  Well, this opener is memorable—but not in a good way! It’s far too vague for a data scientist. The whole point of the role is the ability to condense vast datasets into clear points, and this applicant has done the opposite with vague sentences that provide no clear information. The language is also informal, and we see nothing that’s company-specific.

Why It’s Good:  This opening paragraph has it all—a personal connection with the company that leads to references and values from the company website. The applicant also follows up with a well-rounded set of qualifications, many of which are specifically called for in the job description, once again tying into the company’s goals.

Paragraphs 2-3:  The body of your cover letter needs to substantiate your claims that hooked the reader in your starting paragraph. Each paragraph should hone in on one specific achievement from your experience as a data scientist, such as a testing system you created or a specific company KPI you improved with machine learning data. 

Why It’s Good:  This paragraph is off to a strong start with metrics, specific skills, and personal qualities that all exemplify an excellent data scientist. And then the applicant does a beautiful job of concisely explaining how all these selling points tie into a single, results-driven achievement that’s parallel to one of the obstacles listed in the job description.

Closing paragraph:  Finish strong with a sentence summary of how your values and qualifications align with what the company/organization needs. Lastly, give a call to action.

I love Best Buy and definitely would like working there. And as you can see, I’m qualified. Drop me a line for more information.

Why It’s Bad: Our bad Best Buy applicant is back at it again: At least they mentioned the actual company this time, but this closing paragraph is still too vague and informal. How are they qualified? Get specific!

Why It’s Good: This is the ideal blend of personal qualifications and personality, language from the job description, and clear alignment with company values that we like to see. One glance at this paragraph tells you that this data scientist is already familiar with the company and role and is eager for advancement.

• Formatting : Single-space within each paragraph, but double-space in between paragraphs for readability.

How to end a data scientist cover letter

Signature:  Thank the reader for their time if you haven’t done it yet, and use a professional close along with your real name.

• Formatting : If you’re presenting any hard copies of your data scientist cover letter, quadruple space, so you’ll have room to sign your name with blue/black ink.

Enclosure(s):  This important piece to include in your cover letter signals the reader that more valuable information comes after the letter itself. A data scientist should always include their resume and application with their cover letter along with any professional letters of recommendation from previous relevant roles or certifications—especially when advancing to a senior position!

Enclosures: Resume  Application  Letter of recommendation AI and Machine Learning Professional certification 

• Formatting : Use the correct singular or plural form of “enclosure” depending on how many items you’re enclosing.

Is Your Data Scientist Resume Ready?

A data scientist like you has probably already synthesized all this information so you’re ready to go and start your cover letter right away. And while your cover letter should certainly be outstanding, you don’t want your  resume template  or information to pale in comparison. Plus, it’s easier to write your cover letter once your resume is complete!

Our  resume tips  and tools will help you succeed. If you have an old resume, what better time to refresh it?  Check your resume  for quality or  write your resume  from scratch if you haven’t started yet. If you’re sick of making decisions about your job documents, you can skip the search for the right template and edit this one here.

Doing your homework and putting in the extra effort to make sure that both your cover letter and resume are in peak condition will serve as the first step in demonstrating what you have to offer as a data scientist. Catching your potential employer’s attention means you’re a few steps closer to landing your ideal job!

Just like you turn large data sets into actionable insights, leverage data to show that you’re a skilled candidate. Talk about how long you’ve been a data scientist, your skills in things like statistics, data analysis, and machine learning, and the impact you’ve made. This is where you can expand on a particularly juicy metric from your resume, such as boosting product output or growing yearly profits.

Keep your cover letter concise and to the point. Study the data scientist job description carefully and find ways to connect to the company, be it through your background in exploratory data analysis or through your personal values. Include examples of these crucial connections, and try to wrap it all up in 300 words or less.

Cover letters always used to include an address, but this has largely been replaced by emails instead. However, you can include the company address if you wish. For your own address, the city and state will suffice. The same rule that applies to your job is important here, too—too much data can become nothing but clutter.

How to Write a Winning Cover Letter for Data Science Entry-Level Jobs (2024)

Join over 2 million students who advanced their careers with 365 Data Science. Learn from instructors who have worked at Meta, Spotify, Google, IKEA, Netflix, and Coca-Cola and master Python, SQL, Excel, machine learning, data analysis, AI fundamentals, and more.

A well-crafted data science cover letter has the power to distinguish you from the crowd. It creates context around your resume and lets prospective employers see beyond the bulleted lists with qualifications and accomplishments.

Getting Started

While writing your data scientist cover letter for entry-level positions, consider the following questions:

• What data science projects have you participated in?
• With no experience to offer, what unique skills do you have that make you a good fit for the position?
• How is having no prior work experience in data science an advantage?
• Do you have a cover letter for a data science internship that you can revisit?

Crafting a cover letter for data science entry-level positions should revolve around your personality traits and unfolding potential. But, most importantly, it gives you a chance to address a company’s pain point and demonstrate you have what it takes to offer a solution. And that’s precisely what can move your application to the top of the pile.

Data Scientist Cover Letter Example

Consider the following junior data scientist cover letter example, looking to specialize in AI research engineering:

Dear Hiring Manager,

As a recent graduate with a degree in data science and a lifelong interest in technology, I find Dozen’s constant commitment to leveraging AI to solve the F&B industry’s biggest challenges fascinating. My passion for data-driven research for answering hard questions with data has always driven me forward in my ambition to develop novel techniques to understand food data and build applications to address business problems.

With three years of experience in Tensorflow and PyTorch in college, I’m confident I will be an excellent fit for Dozen’s next junior AI research engineer. My hands-on experience in infrastructure construction (AWS, GCP, Docker) and understanding of key machine learning concepts have given me the innovative and technical skills necessary to successfully provide your company with appropriate technological  solutions to client issues.

I know that Dozen’s plans involve designing and implementing new predictive machine learning and artificial intelligence algorithms to improve outcomes and economies of scale. This project perfectly matches my interests and is an exciting opportunity to identify and formulate analytical problems underlying waste management and supply chain. With this initiative, I would happily leverage my knowledge of machine learning, optimization toolkits, Python, and R to achieve groundbreaking results. 

I look forward to discussing how my innovative ideas and data science expertise can transform Dozen’s research into AI capabilities for better performance and efficiency.

[Your Name]

Writing a Winning Data Science Cover Letter with No Experience

How do you write a compelling data science cover letter if you have yet to gain work experience in the field? An excellent data science cover letter should convey that you’re the perfect fit for the company. But you can’t make that impression if you’re not an expert on your target company first, right? So, before you start writing, note the following steps you need to take:

• Research the prospective employer;
• Describe your skills and achievements;
• Format your data science cover letter.

Research Your Prospective Employer

Researching an employer is necessary for any job candidate—especially when writing a cover letter for data science entry-level roles. Data science serves many industries. So, as a budding professional, you must showcase your interest in that line of work—be it security, stock trading, food innovation, or consulting. Moreover, you should be familiar with their main competitors in the market and the technology your target company uses. There are clever ways to incorporate this knowledge into your cover letter. And fortunately, there are plenty of sites where you can find all the information you need.

Company’s Website

A company’s website is the first place you should look because its services, projects, product descriptions, and news are all there. Their About Us page reveals the company culture and its core values. So, mention some of those in your data science cover letter—showing your avid interest in this job opportunity with this company. After all, no employer wants to be just one of many.

Stackshare, G2 Track, and Similar Sites

Stackshare and G2 Track are crowdsourced platforms where companies’ team members share the technology they use in their workplace—including top Fortune 500 companies like Amazon and Walmart. You can explore the company profile to find the application and data tools, utilities, and business tools it employs daily. And if you’re proficient in any of those, add them to your data science cover letter.

Social media

Don’t forget to check out the company’s LinkedIn, Instagram, Facebook, and Twitter presence. These will inform you about the company’s latest projects and upcoming initiatives. Moreover, they might give you a sneak peek into recent team events and help you understand the company culture. You can then tailor your data science cover letter to impress a potential employer with your proactivity right from the start.

Annual Report

If you’re applying for a job at a publicly traded company, their annual report is an absolute gold mine. That’s where you can become familiar with the company’s industries, their business segments, a management’s discussion and analysis (MD&A) of the business’s financial condition, and even financial results over the past few years. You can also find the list of the board of directors and executives, with their occupations. In addition, the annual report shares details about their product lines, operating locations, and project leads. Not only is this a bonus for your data scientist cover letter, but it will also benefit your data science interview preparation .

The Job Description

It’s essential to fully understand the job description and ensure your cover letter demonstrates you meet your prospective employer’s needs. Like your resume, you should customize it according to the data science internship or junior position you’re applying for. This doesn’t mean you should go overboard with self-praise—tie your skills and education to the company’s business goals or a relevant issue you believe you can solve.

Describe Your Skills and Achievements

Your skills and achievements are vital to an excellent data science cover letter, which must be coherent and impeccable. Each paragraph should be well-thought-out to serve a particular purpose. You need an opening directed to the right person, an introduction that creates interest and curiosity, and body paragraphs that bind your qualifications and skills to the company’s targets and plans for development. And finally, you should have a strong closing paragraph with a must-have call to action.

Format the Data Science Cover Letter

Formatting can speak louder than words. A clean and stylish cover letter consistent with your resume exudes professionalism and a serious approach to the job application process. Fortunately, there are simple rules you can follow to create an elegant and sharp cover letter :

• The cover letter and resume must have the same design.
• A cover letter should be up to one page long.
• Fonts should be easy to read, e.g., Calibri 10–12pt.
• Use one-inch margins and align to the left.
• Spacing should be consistent.
• Ensure the file type is compatible with various devices.
• Use transition words between paragraphs

Data Science Cover Letter Т emplates

Writing and formatting a data science cover letter from scratch can be daunting—especially if you’re fresh out of college or transferring into data science from a different field. So, we’re sharing cover letter samples for five of the most sought-after jobs in data science: data analyst, BI analyst, data engineer, data architect, and data scientist:

• Data scientist cover letter template
• Data analyst cover letter template
• BI analyst cover letter template
• Data Engineer cover letter template
• Data Architect cover letter template

Writing a Data Science Cover Letter for Entry-Level Positions: Best Practices

If you’re new to writing data science cover letters, you may feel the need to be thorough. But that’s not what crafting a cover letter is about. You should find a way to keep it short and impress your potential employer in less than a minute.

Consider the following pointers specialists recommend when writing a data science cover letter for an entry-level position:

• Balance hard and soft skills
• Keep it short
• Customize your input
• Quantify successes
• Review and edit the text more than once

Ready to Advance Your Data Science Career?

Before writing your data scientist cover letter, you may want to hear what industry experts have to share about it. With the course Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process , a top-level data scientist and his team guide you through all the steps to landing a data science internship or an entry-level job.

You’ll learn how to create your data science project portfolio, build your resume, get an interview through networking, succeed during the phone interview, solve the take-home test, and ace the behavioral and technical questions.

World-Class

Data Science

Learn with instructors from:

Marta Teneva

Senior Copywriter

Marta is a former Senior Copywriter at 365 Data Science. Digging into her own experience of transitioning into a new field and all the uncertainty that initially goes with it, she creates informative and fun to read content that helps our readers expand their career options in data science and achieve the goals they have set for themselves.

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Home / Cover Letter Examples / Data Scientist Cover Letter Sample

Sample Data Scientist Cover Letter and Advice from HR Pros

This Data Scientist sample cover letter is here to give you ideas and inspiration to complete your application and get the job you’ve been dreaming about. Right down below, you will see a full sample cover letter. And further down, we will go over each section of the sample cover letter , explaining each part in more detail.

Cover letter header

The header is the simplest part of your cover letter — but this doesn’t make it any less important. As it’s the easiest section to write, it’s a good way to get yourself started if you feel like you are stuck with the main sections.

Your header should include your full name and relevant credentials, such as CAP, CCA, CCP, DASCA, SDS, PDS, etc. You can add your home address or, alternatively, just the name of your city. Add the preferred way in which you’d like to be contacted: your phone number, email address or both. It's also recommended that you include a link to your account on professional social media — LinkedIn , GitHub , etc. It’s also a good idea to add the current date as this will show that the cover letter has been written recently.

Cover letter greeting

It’s best if you start your cover letter by addressing the hiring manager by name. If you can find the name of the person you are sending the application to (via the company’s website, LinkedIn page, etc.), use it in your cover letter greeting. If you are addressing the hiring manager by their last name and they are a female, it’s best to use Ms. instead of Mrs. or Miss.

If you can’t find the name, you can start the letter with something like “Dear Hiring Team” or “Dear Hiring Manager”. It’s best to avoid “To whom it may concern” as this form of address is considered to be outdated.

Cover letter introduction

In this section, you should get the HR manager interested in reading the rest of your cover letter and looking at your CV. Start with your best features and key qualifications and mention why you believe that you are the perfect candidate for the posted job offer. Emphasize the skill set that you already have and how it aligns perfectly with what the company is looking for.

Cover letter middle paragraphs

After a powerful introduction, go on to explain in more detail what practical value you can bring to the team. Here, you should show that you are well aware of all the responsibilities and tasks of being a data scientist and will be able to handle them. A good idea here would be to provide examples from your previous positions in the same role that demonstrate your skills and professionalism. You can present the most telling examples as a bulleted list so they “jump off” the page.

Avoid using vague language and generic phrases. Instead, give specific examples and references to show why you are the right person for the job. It’s a good place to explain what has driven you into the profession and what you love most about your work. You can also briefly touch on your career plans and what you are looking to gain from the experience of working for this company.

Keep this section of your resume short and to the point — just two or three paragraphs. Focus on the most important information and leave the generalities out of it.

Cover letter conclusion and sign-off

This is the part for a call to action. You can once again point out why you consider yourself to be a good candidate for the job. Then, you can add when you will be available to start or when you can come out for an interview. Mention that you will be waiting for feedback on your resume. Make sure to thank the hiring manager for their time in reading your letter.

Cover letter signature

For signature, you can repeat the same information you’ve used in the header. Or, you can add an additional way to contact you. Just like in the header, start with your full name and credentials.

We hope our guide has been helpful. If you are looking for more information on how to perfect your application, check out our Resume Writing Tips and Examples .

Resume Worded   |  Career Strategy

14 entry level data analyst cover letters.

Approved by real hiring managers, these Entry Level Data Analyst cover letters have been proven to get people hired in 2024. A hiring manager explains why.

Table of contents

• Entry Level Data Analyst
• Junior Data Scientist
• Data Science Intern
• Junior Data Analyst
• Data Analyst Intern
• Data Analytics Intern
• Alternative introductions for your cover letter
• Entry Level Data Analyst resume examples

Entry Level Data Analyst Cover Letter Example

Why this cover letter works in 2024, highlighting a relevant project.

This cover letter showcases a university project that directly relates to the job role. By sharing the project's impact, it demonstrates the candidate's ability to apply their skills in a real-world setting.

Demonstrating Impact with Numbers

Using specific numbers to highlight the candidate's accomplishments during their internship helps quantify their success. This shows the hiring manager the potential value they can bring to the company.

Personalize Your Journey

Relating your journey to the job you're applying for can immediately grab the reader's attention. For example, tracking baseball statistics as a child and predicting game outcomes shows your long-standing interest in data analysis. It makes your introduction personal and lets the recruiter know that you have a genuine passion for data analysis, not just a degree in it.

Highlight Achievements with Quantifiable Outcomes

When you mention specific outcomes of your work, like increasing product recommendations' accuracy by 30% and boosting sales by 18%, you are giving the hiring team solid proof of your skills. These numbers not only demonstrate your capabilities but also show your potential impact on their business.

Show Enthusiasm for the Company's Values

By expressing excitement about working on data-intensive projects at a company that values innovation and creativity, you are aligning yourself with the company's culture. This shows the hiring team that you understand and appreciate their values, which makes you a potentially great fit for their team.

Presenting Quantifiable Achievements

When you mention specific numbers like "increased recommendation accuracy by 35%", you're not just telling me you did well, you're showing me. It gives a clearer picture of what you accomplished and how you might perform at my company.

Demonstrating Knowledge in the Field

You show me you know your stuff when you talk about using machine learning to predict customer churn. As an entry-level applicant, it's so important to show you can handle the technical aspects of the job.

Showcasing Soft Skills

By saying you "translate complex datasets into actionable insights", you're showing that you can communicate well, and that's a skill we look for. A lot of people can analyze data, but not everyone can explain those findings in a way that makes sense to non-data people.

Aligning with Company Values

You nailed it when you said you're drawn to Google for its commitment to using data for social good. This shows you've done your homework about our company and its mission, and that you align with our values.

Show your passion for data analytics

Sharing your moment of discovery around data analytics is a good start. It tells me you have a genuine interest in the field, which is key for a long and successful career.

Research the company

Knowing about Nielsen’s work and expressing admiration for their approach shows you’ve done your homework. This is a sign of a serious candidate.

Highlight your achievement with numbers

Talking about a specific project where your analysis led to a significant improvement is impressive. It gives me a clear picture of the impact you can bring to the team.

Emphasize key skills for a data analyst role

Pointing out your analytical skills, attention to detail, and ability to explain complex ideas in simple terms is crucial. These are the traits I look for in a strong candidate.

Express enthusiasm for the role

Ending your letter by thanking me and showing eagerness to discuss your contribution further is polite and shows good initiative.

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Share an engaging story

Starting with a personal anecdote about discovering Tableau draws us in and shows your enthusiasm for data analytics right from the start. It's a memorable way to begin.

Show impact with numbers

Detailing the results of your internship project with specific percentages demonstrates the tangible impact you've had. It’s compelling evidence of your ability to contribute meaningfully.

Highlight technical proficiency

Mentioning your skills in SQL, Python, and R, along with the types of projects you worked on, showcases your technical foundation. This is crucial for a data analyst role.

Express enthusiasm for diverse challenges

Your excitement about working with different clients and data sets shows adaptability and a keen interest in tackling varied problems. This versatility is attractive in a data analyst.

End with a forward-looking statement

Your closing remark reiterates your interest and opens the door for further discussion, demonstrating eagerness and initiative. It's a positive note to end on.

Show genuine enthusiasm for the data analyst role

Expressing real excitement about the job and how it aligns with your career goals makes your cover letter more compelling. It shows you're not just looking for any job, but this specific role.

Highlight specific project experience

Talking about a relevant project where you used SQL and Python to drive results demonstrates your hands-on experience and ability to contribute from day one.

Demonstrate impact with data visualization skills

Describing how you saved the team time by developing a dashboard illustrates your practical skills in data visualization and your understanding of its value in business.

Express eagerness to work with diverse industries

Your enthusiasm for working across different sectors shows adaptability and a keen interest in applying data analysis to various business challenges.

Convey anticipation to contribute to the company

Ending your cover letter with a forward-looking statement about contributing to the company's success leaves a positive, proactive impression.

Junior Data Scientist Cover Letter Example

Show admiration for the company's work.

Expressing admiration for Google's work in data science shows that you are not just interested in a job, but specifically in working for Google. This kind of enthusiasm is contagious and can make a recruiter excited about the prospect of having you on their team.

Display Your Impact on Business Growth

Numbers speak louder than words. So when you state that your predictive model helped increase the customer base by 25%, it's a clear indicator of your ability to drive business growth. This evidence of direct, measurable impact makes your skills more tangible and relevant to potential employers.

Express Passion for the Larger Impact

By saying that being part of Google's data science team is a dream come true and expressing your excitement for Google's commitment to using data for social good, you're showing that your values align with Google's. This not only shows your passion for the work but also your appreciation for the positive impact it can have on society.

Data Science Intern Cover Letter Example

Highlighting impact on business operations.

Improving accuracy of inventory demand forecasts by 40% doesn't just show your technical skills, it also shows you understand how your work impacts the business. I love to see that you're thinking about the bigger picture.

Showing Your Contribution to Business Growth

Increasing targeted marketing conversion rates by 15% tells me you're not just a data whiz, you're also someone who can help our business grow. It shows you can use your skills to directly impact the bottom line.

Signalling Enthusiasm for Specific Projects

When you express your keenness to contribute to personalizing customer experiences, it shows you're not just looking for any internship, but specifically want to add value to our company and the projects we are working on.

Connecting with Company Culture

Expressing that you resonate with Amazon's culture of innovation and customer-centric mission tells me that you're not just interested in doing the job, but you're also excited about the environment and the people you'll be working with.

Junior Data Analyst Cover Letter Example

Connect with the company’s mission.

Expressing why you’re drawn to the Junior Data Analyst role at Experian because of their innovative use of data shows alignment with their mission, making you a more attractive candidate.

Demonstrate impact through projects

Describing your successful project in reducing customer churn with a machine learning model showcases your hands-on experience and potential value to our team.

Detail your technical skills and passion

Mentioning your programming skills in SQL and Python, along with your passion for data, underlines your capability and enthusiasm for the job.

Show gratitude and openness to discuss

Acknowledging the time taken to review your application and inviting further discussion is respectful and shows you’re open to engaging in deeper conversations.

Maintain professionalism to the end

Signing off with a simple 'Best' keeps the tone of your cover letter professional and friendly, which is a good note to end on.

Discovering the value of data analysis

When you share a story about how you came to love data analysis, it shows your genuine interest and curiosity in the field. This is a good way to connect with the reader.

Real-world impact through data analytics

Talking about specific achievements, like improving a company's default rate, demonstrates your ability to apply data analytics skills to solve real problems. This is impressive to hiring managers.

Developing strong data analysis skills

Mentioning proficiency in tools like SQL, Tableau, and R, and the ability to communicate insights, highlights your technical skills and teamwork. These are key qualities for a junior data analyst.

Passion for making a difference with data

Expressing excitement about working on meaningful projects shows you're motivated by impact. This aligns well with companies looking for passionate individuals.

Eagerness to contribute to a data-driven culture

Stating your interest in learning and contributing to the company emphasizes your readiness to be part of the team. This is a strong closing statement for a cover letter.

Show your passion for junior data analyst role

Talking about your excitement for the job shows you’re not just looking for any job, but you are interested in this specific role because it matches what you love doing.

Use real examples from your data analysis experience

Describing a project where you applied your skills proves you have hands-on experience. It tells me you can handle real-world problems and have successfully used your skills before.

Highlight why the company attracts you

When you mention what draws you to the company, it shows you have done your homework. It also tells me you see a fit between your interests and what the company does, which is important for long-term success.

Express gratitude in your junior data analyst cover letter

Saying thank you is a simple but powerful way to make a positive impression. It shows you value the opportunity to apply and appreciate the time taken to read your letter.

Confidence is key for a junior data analyst

Stating your confidence in your ability to contribute to the company’s success demonstrates a positive attitude. It makes me believe you are ready to take on challenges and are enthusiastic about the role.

Data Analyst Intern Cover Letter Example

Show your passion for data analysis.

Your excitement about using data to find answers and solve problems tells me you're not just looking for any job—you want this one. It shows you have a genuine interest in the field.

Highlight your relevant education

Talking about your projects at university gives us a clear picture of your skills and what you've already accomplished. It's important to see that your education has prepared you for real-world tasks.

Demonstrate eagerness to learn and contribute

By expressing your desire to both offer your skills and grow with our team, you're showing that you're ready to be a valuable, team-oriented intern. This balance between giving and receiving knowledge is key for an intern role.

Make a personal connection

Asking to discuss how you can help our company succeed feels personal and shows you're serious about the role. It's a good way to end your cover letter on a proactive note.

Close with professionalism

Your polite sign-off shows respect and professionalism, which are important qualities for any team member. It sets the right tone for future interactions.

Show how the role aligns with your passions

Mentioning your draw to the company's mission and your passion for data emphasizes your alignment with the company's values and goals.

Illustrate your analytical skills with examples

Sharing a specific example of how your analysis led to actionable insights and positive outcomes showcases your ability to apply statistical techniques effectively.

Highlight your eagerness to tackle specific challenges

Expressing interest in working on projects related to credit risk modeling and fraud detection shows you have a clear idea of how you want to contribute and grow.

Data Analytics Intern Cover Letter Example

Initial fascination with data analytics.

Describing your first encounter with data analytics and its effects on your career choice shows a foundational passion. This helps create a personal connection with the reader.

Growing skills through academic projects

Detailing your involvement in relevant projects and the skills gained showcases your hands-on experience and readiness for the internship. It's a compelling way to demonstrate your practical knowledge.

Proficiency in data analytics tools

Listing relevant technical skills and your experience with large datasets proves you have the technical foundation required for a data analytics intern. This is what hiring managers look for in a candidate.

Desire to learn and contribute

Highlighting your eagerness to apply your skills and learn from the team shows humility and ambition. This balance is attractive to employers looking for team players.

Commitment to driving business growth with insights

Your closing statement focuses on how you can support the company's mission, demonstrating your understanding of the role's importance. It's a persuasive end to your application.

Alternative Introductions

If you're struggling to start your cover letter, here are 6 different variations that have worked for others, along with why they worked. Use them as inspiration for your introductory paragraph.

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Thank you for the checklist! I realized I was making so many mistakes on my resume that I've now fixed. I'm much more confident in my resume now.

Entry Level Data Scientist Cover Letter Example

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You should start your Entry Level Data Scientist cover letter by addressing the hiring manager directly, if possible. Then, introduce yourself and briefly mention your educational background and any relevant experience or projects. It's also important to express your interest in the role and the company. For example, "Dear [Hiring Manager's Name], I am excited to apply for the Entry Level Data Scientist position at [Company's Name]. As a recent graduate in Data Science from [Your University's Name], I have gained experience in data analysis and machine learning through various academic and personal projects. I am particularly drawn to [Company's Name] because of its innovative approach to data-driven decision making." This approach shows that you've done your research and are genuinely interested in the company and role.

The best way for Entry Level Data Scientists to end a cover letter is by summarizing their interest in the role and the value they can bring to the company. They should reiterate their enthusiasm for the data science field and express eagerness to contribute their skills and learn more. It's also important to thank the hiring manager for their time and consideration. For example: "I am excited about the opportunity to bring my unique blend of skills to your team and am confident that I can contribute to your projects. Thank you for considering my application. I look forward to the possibility of discussing this opportunity further." This ending is professional, courteous, and leaves a positive impression.

An entry-level data scientist's cover letter should include the following: 1. Introduction: Start with a brief introduction about yourself and your interest in the data science field. Mention the job you're applying for and where you found the job listing. 2. Education: Highlight your educational background, especially if you have a degree in a relevant field like Computer Science, Statistics, or Data Science. If you have taken any special courses or certifications related to data science, mention them here. 3. Skills: List your technical skills that are relevant to the job. This could include programming languages like Python or R, data analysis tools like SQL, or machine learning techniques. Also, mention any soft skills like problem-solving or communication that could be beneficial in a team setting. 4. Projects or Experience: Even as an entry-level applicant, you can discuss projects you've completed during your studies or in your own time. Describe what you did, the tools you used, and the results you achieved. If you've had internships or work experience, even if not directly related to data science, discuss the transferable skills you gained. 5. Passion for Data Science: Show your enthusiasm for data science. Discuss how you keep up-to-date with the latest industry trends, whether that's through reading relevant publications, attending conferences, or participating in online communities. 6. Conclusion: Conclude by expressing your interest in the role and the company. Mention how you could contribute to the company and how the role aligns with your career goals. Thank the reader for their time and express your hope for further discussion. Remember, the cover letter should not just repeat your resume. It should provide context and explain why you're a good fit for the role. Be concise, professional, and proofread carefully for any errors.

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Try our AI Cover Letter Generator

Professional Entry-Level Data Scientist Cover Letter Examples for 2024

Your entry-level data scientist cover letter should highlight your passion for data science and analytics. Demonstrate a solid foundation in statistical methods and machine learning techniques. Showcase any relevant academic or project experience, and don't forget to emphasize your problem-solving abilities. It's crucial to illustrate how you can translate data insights into actionable business strategies.

Cover Letter Guide

Entry-Level Data Scientist Cover Letter Sample

Cover Letter Format

Cover Letter Salutation

Cover Letter Introduction

Cover Letter Body

Cover Letter Closing

No Experience Entry-Level Data Scientist Cover Letter

Key Takeaways

Embarking on your data scientist career journey, you're ready to apply for jobs, and as you scan through the requirements, you notice a cover letter is often a must. Crafting this one-page introduction shouldn't be a resume echo; it's your chance to narrate your proudest professional achievement with sincerity, dodging those overused clichés. This guide empowers you to compose a compelling entry-level data scientist cover letter that portrays the unique story behind your biggest successes.

• Introduce your profile to catch recruiters' attention;
• Use professional templates and examples to make sure your entry-level data scientist cover letter follows the best industry standards;
• Settle on your most story-worthy achievement to shine a light on what makes your application unique;
• Write a entry-level data scientist cover letter, even when you lack professional experience.

Ready to start with the basics: upload your resume to Enhancv's AI, below, to see the entry-level data scientist cover letter it would write for you.

If the entry-level data scientist isn't exactly the one you're looking for we have a plethora of cover letter examples for jobs like this one:

• Entry-Level Data Scientist resume guide and example
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Entry-Level Data Scientist cover letter example

Carla Jensen

Washington, USA

+1-(234)-555-1234

[email protected]

• Emphasizing relevant project experience, such as leading a data analytics project at a major company like Google, demonstrates the ability to apply skills in a real-world business context, which is crucial for a Data Scientist role.
• Quantifying achievements (e.g., reducing operational time by 15%, increasing lead generation by 10%) is powerful, as it provides concrete evidence of the candidate's impact and effectiveness in their previous positions.
• Expressing willingness to discuss the alignment of the candidate's background and skills with the organization's goals highlights a proactive mindset and genuine interest in contributing to the company's success.
• Outlining specific technical skills (e.g., statistical analysis, data model implementation) directly addresses the key competencies necessary for a Data Scientist and reassures the prospective employer of the candidate's capability in these areas.

What about your entry-level data scientist cover letter format: organizing and structuring your information

Here is one secret you should know about your entry-level data scientist cover letter assessment. The Applicant Tracker System (or ATS) won't analyze your cover letter.

You should thus focus on making an excellent impression on recruiters by writing consistent:

• Introduction
• Body paragraphs (and explanation)
• Promise or Call to action
• Signature (that's optional)

Now, let's talk about the design of your entry-level data scientist cover letter.

Ensure all of your paragraphs are single-spaced and have a one-inch margins on all sides (like in our cover letter templates ).

Also, our cover letter builder automatically takes care of the format and comes along with some of the most popular (and modern) fonts like Volkhov, Chivo, and Bitter.

Speaking of fonts, professionals advise you to keep your entry-level data scientist cover letter and resume in the same typography and avoid the over-used Arial or Times New Roman.

When wondering whether you should submit your entry-level data scientist cover letter in Doc or PDF, select the second, as PDF keeps all of your information and design consistent.

The top sections on a entry-level data scientist cover letter

• Header: Include your contact information, the date, and the employer's contact information to ensure the recruiter can easily follow up with you.
• Greeting: Address the recruiter or hiring manager by name to personalize your cover letter and demonstrate attention to detail.
• Introduction: Begin with a strong opening that outlines your enthusiasm for data science and introduces your background as it relates to the position.
• Body: Detail your relevant experience, particular data science projects, and the technical skills you possess, such as proficiency in programming languages and data analysis, to showcase your suitability for the role.
• Closing: Reaffirm your interest in the position, express your availability for an interview, and thank the recruiter for considering your application to convey professionalism and eagerness to join their team.

Key qualities recruiters search for in a candidate’s cover letter

• Strong proficiency in programming languages such as Python or R: Vital for handling data processing, analysis, and machine learning tasks.
• Knowledge of data manipulation and analysis tools like SQL, pandas, and NumPy: Necessary for efficient data cleaning, transformation, and extraction of insights.
• Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch: Demonstrates the ability to apply predictive models and advanced analytics in practical scenarios.
• Understanding of statistical analysis and mathematical modeling: Fundamental for interpreting data correctly and ensuring analytical rigor.
• Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn, or Tableau: Helps in presenting data insights in a comprehensible manner for stakeholders.
• Strong problem-solving skills and a critical thinking mindset: Essential for hypothesizing and testing data-driven solutions to complex business problems.

Kick off your entry-level data scientist cover letter: the salutation or greeting

When writing your entry-level data scientist cover letter, remember that you're not writing for some complex AI or robot, but for actual human beings.

And recruiters, while on the lookout to understand your experience, would enjoy seeing a cover letter that is tailored to the role and addresses them . Personally.

So, if you haven't done so, invest some time in finding out who's the hiring manager for the role you're applying to. A good place to start would be LinkedIn and the corporate website.

Alternatively, you could also get in touch with the company to find out more information about the role and the name of the recruiter.

If you haven't met the hiring manager, yet, your entry-level data scientist cover letter salutation should be on a last-name basis (e.g. "Dear Mr. Donaldson" or "Dear Ms. Estephan").

A good old, "Dear HR Professional" (or something along those lines) could work as your last resort if you're struggling to find out the recruiter's name.

List of salutations you can use

• Dear Hiring Manager,
• Dear [Specific Department] Team,
• Dear [Company Name] Recruiter,
• Dear Mr./Ms. [Last Name],
• Respected [Job Title] Hiring Committee,
• Dear [Job Title or Department] Search Committee,

Using your entry-level data scientist cover letter intro to show your dedication

We know just how difficult it is to start writing your entry-level data scientist cover letter introduction .

There are so many great qualities you have as a professional, which one should you choose?

How about writing up to two sentences about your passion and commitment to the work you do or are set to do?

Try to describe exactly what you enjoy about the potential role.

A positive attitude from the get-go will help you stand out as a motivated entry-level data scientist professional.

What to write in the body of your entry-level data scientist cover letter

Now that you've got your intro covered, here comes the heart and soul of your entry-level data scientist cover letter.

It's time to write the middle or body paragraphs . This is the space where you talk about your relevant talent in terms of hard skills (or technologies) and soft (or people and communication) skills.

Keep in mind that the cover letter has a different purpose from your entry-level data scientist resume.

Yes, you still have to be able to show recruiters what makes your experience unique (and applicable) to the role.

But, instead of just listing skills, aim to tell a story of your one, greatest accomplishment.

Select your achievement that:

• covers job-crucial skills;
• can be measured with tangible metrics;
• shows you in the best light.

Use the next three to six paragraphs to detail what this success has taught you, and also to sell your profile.

Final words: writing your entry-level data scientist cover letter closing paragraph

The final paragraph of your entry-level data scientist cover letter allows you that one final chance to make a great first impression .

Instead of going straight to the "sincerely yours" ending, you can back up your skills with a promise of:

• how you see yourself growing into the role;
• the unique skills you'd bring to the organization.

Whatever you choose, always be specific (and remember to uphold your promise, once you land the role).

If this option doesn't seem that appealing to you, close off your entry-level data scientist cover letter with a follow-up request.

You could even provide your availability for interviews so that the recruiters would be able to easily arrange your first meeting.

Addressing limited to no experience in the entry-level data scientist cover letter

There's nothing to worry about if you lack professional experience .

Your entry-level data scientist cover letter could bridge the gaps in your professional history by focusing on what matters most to recruiters, that's either:

• skills - focusing on transferable ones you've gained, thanks to your life experience (e.g. volunteering, certificates, etc.);
• achievements - select the most relevant and noteworthy one from your history (e.g. education, projects, etc.);
• motivation - describe how you envision your professional growth in the next up to five years, thanks to this opportunity.

Key takeaways

Your entry-level data scientist cover letter is your best shot at standing out by showing your motivation and the unique skills you'd bring to the job:

• Chose no more than one achievement, which you'd be talking about in the body of your entry-level data scientist cover letter, by focusing on skills and outcomes;
• Address recruiters with their first or last name, or "Dear Hiring Manager" in your entry-level data scientist cover letter greeting;
• Introduce in no more than two sentences what makes your profile unique (perhaps it's your motivation, enthusiasm, or appreciation of the company you're applying for);
• Select the same font you have used in your resume (avoid Times New Roman and Arial, as most candidates tend to invest in them);
• Close your entry-level data scientist cover letter with a promise of how you see yourself growing in the company and the benefits you'd bring about.

Cover letter examples by industry

AI cover letter writer, powered by ChatGPT

Enhancv harnesses the capabilities of ChatGPT to provide a streamlined interface designed specifically focused on composing a compelling cover letter without the hassle of thinking about formatting and wording.

• Content tailored to the job posting you're applying for
• ChatGPT model specifically trained by Enhancv
• Lightning-fast responses

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Home » Job Tips » Resume Writing Tips » Data Scientist Cover Letter

Data Scientist Cover Letter: Writing Tips, Template & Samples to Get Hired

An effective cover letter can help you stand out from other applicants and get the hiring manager’s attention. For data scientists, the cover letter is an opportunity to showcase their skills, experience, and passion for working with data. An excellent cover letter can help set you apart from other applicants and land an interview. In this blog, we will explore the essential components you need to craft a perfect data scientist cover letter that showcases your value and helps you land your next data scientist role.

Table of Contents

Essential Elements Of A Professional Data Scientist Cover Letter

An effective cover letter for a data scientist is very important when applying for a data scientist job role. It should include the following key sections:

The first part of the cover letter should be the header, which introduces you professionally. It is important to make a good first impression with a professional, organized cover letter by:

• Adding your full name, job title (Data Scientist), email, phone number, and date. 
• Make your name stand out in a larger font. If emailing, the subject line could say “Data Scientist Job Application – [Your Name]” so it’s easy to identify.  
• Starting with an opening paragraph expressing your excitement for the position. 
• Highlighting your relevant background – education, skills, experience – to show you are qualified.

2. Greetings/Salutation

The greeting at the top of your cover letter is important when applying for a data science job. It’s the first thing the hiring manager sees, so it needs to make a good impression by maintaining a format. Here are some guidelines to draft the perfect greetings: 

• Don’t use a generic greeting like “To whom it may concern.” 
• Do some research to find the hiring manager’s name. The best option is to address them directly with “Dear Mr./Ms. [last name].” 
• If you don’t know their name, “Dear Hiring Manager” works too. This personalized greeting shows you care about details and sets the right tone.

Make sure the greeting is respectful and professional. That positive first impression can make your cover letter stand out from the start.

3. Introduction

The introduction plays a crucial role in your cover letter as it establishes the overall tone. Your introduction should immediately capture the hiring manager’s attention and interest them enough to continue reading. Here are some tips to draft a good introduction:

• It is important to express enthusiasm for the job and convey a genuine passion for data science right from the beginning. 
• State which position you are applying for, and mention relevant educational background, degrees, or certifications in data science or related fields to demonstrate suitability. 
• Restrict your introduction to a few sentences that clearly state who you are, specify the desired position, and highlight your relevant skills. 
• To catch the attention of hiring managers and keep their interest, it is advisable to be concise yet compelling when introducing yourself.

This section is central to your application and provides an opportunity to demonstrate your skills, experiences, and passion for the role. To draft the perfect body content for your cover letter:

• Emphasize technical proficiency and problem-solving abilities. 
• Support these claims with specific examples from previous roles. 
• Talk about your professional experience and education through points that focus on relevant skills without duplicating information found in your resume or portfolio. 
• Rather than repeating facts about yourself, use this space wisely to offer new perspectives on various accomplishments. 
• Use the STAR technique to illustrate how you positively made an impact on companies you have worked at previously.

The closing paragraph of your cover letter is very important it is the last thing the hiring manager reads, so you want to leave a great final impression. You can craft your closing statement by referring to the following guidelines:

• Recap your qualifications, skills, and experience that make you a strong candidate for the job. 
• Re-emphasize that you’re truly excited for the opportunity and eager for the next steps in the process. 
• As a method to be remembered, so end with confidence that your abilities make you a great fit. 
• Maintain a professional but enthusiastic tone, and add a call to action – for example, your availability for an interview or willingness to provide more info.

6. Signature

Ensure to end your cover letter with a signature. The signature is a critical final section of your cover letter that formally closes your communication and identifies it was written directly by you. Signing the letter adds an element of personalization and professionalism. Here’s what you need to keep in mind before adding your signature:

• Your signature should match the name you used in the greeting and be written in pen for an authentic look and feel. 
• Use your full legal name for formality.

Data Scientist Cover Letter Template

A template can assist you in crafting a cover letter that presents your professional experience, achievements, and potential to recruiters with clarity and professionalism. Here is a template for your best data scientist cover letter:

Sample Cover Letter for Data Scientist

Here is a data scientist cover letter example that can serve as a helpful guide if you’re looking to write a perfect data science cover letter.

Tips to Draft the Best Data Scientist Cover Letter

To craft an engaging data scientist cover letter that gets results, keep these tips in mind:

1. Mention Relevant Skills And Experience

In your cover letter, emphasize relevant skills and experiences. For data scientists, focus on technical abilities such as programming languages, data analysis, machine learning, and statistical modeling. Don’t forget to mention soft skills like problem-solving skills and effective communication. Provide specific examples from previous roles to demonstrate skill usage and results achieved.

For instance, highlight any online data science placement guarantee course that you may have taken to upskill. Mention the technical skills like Python programming, and machine learning frameworks you used in past data analyst roles.

2. Talk About Your Current Role

To write a compelling cover letter for a data science job, it’s important to effectively explain your current role. Start by giving a summary of what you do and focus on the key tasks and accomplishments that demonstrate your expertise in handling and analyzing data. Highlight specific projects where you applied your skills successfully and made an impact. 

For example, you can state that you’re, “Currently serving as lead data scientist driving analytics strategy that increased click-through rate by 10% and revenue by 8%”.

3. Demonstrate Your Suitability for the Role

Understanding the position you’re applying for is crucial in crafting a successful cover letter. Thoroughly read and comprehend the job description to tailor your letter accordingly, emphasizing how your skills and experiences align with what the employer seeks. 

For example, focus on showcasing your experience in developing applications using the most preferred programming language that aligns with the role you’re applying for. By doing so, you convey that you have done thorough research and are committed to pursuing this opportunity.

4. Highlight Your Passion For Data Science

When writing a cover letter as a data scientist, it’s important to highlight your passion for the field. Start by expressing genuine enthusiasm for working with data and its power in solving complex problems.

Further, mentioning any relevant personal projects or research conducted outside of professional responsibilities will demonstrate to the employer that you are not simply seeking any job but specifically aspiring towards a career in data science .

5. Mention Specific Projects That Motivated You To Apply

When highlighting your relevant experience, be sure to call out specific data science projects that sparked your interest or passion for the field. For instance, you could describe a past project that motivated you to continually enhance your skills in the field. Sharing real-world examples of data projects that inspired your interest and path in data science helps convey your passion for the work.

6. Link Your Soft And Hard Skills To Your Achievements

It’s important to connect your soft and hard skills with tangible achievements. By illustrating specific accomplishments that demonstrate your abilities, you can showcase both your expertise and the real-world results of your skills.

For instance, “I used my communication and Excel skills to create sales dashboards that identified trends and opportunities, increasing team productivity by 15%.” This approach validates your abilities and shows employers how you can translate them into real-world results.

7. Follow A Clear, Concise, And Professional Format

Your cover letter is a formal document, not an essay. Keep it brief and straightforward by using plain language that everyone can understand. Avoid jargon or overly technical terms. Additionally, remember to review your letter for any spelling or grammar errors as a well-written and mistake-free cover letter creates a positive initial impression.

8. Finish Strong With A Memorable Conclusion

Your cover letter’s conclusion is your last opportunity to leave an impression. Use it to emphasize your interest in the position and why you are a good fit for it. You can also mention when you are available for an interview and express enthusiasm about discussing the role further. This will demonstrate that you take initiative and are genuinely interested in this job opportunity.

For example, “I am excited about the opportunity to contribute my skills to [Company Name]. With a passion for data science, I am eager to bring my [specific skills] to drive success and thrive in a dynamic team environment. Thank you for considering my application.”

An engaging, well-crafted data scientist cover letter is vital when applying for data scientist jobs. It provides an opportunity to make a great first impression and highlight both your technical expertise and passion for the field. Use the tips and examples in this post to craft a cover letter that gets your data science career off to a strong start. 

How do you prepare a cover letter? Share in the comments. Also, check out our blog on the best cover letter formats .

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Shailja Kaushik has been an Editor with Internshala since March 2023. She loves creative writing and experimenting with different forms of writing. She has explored different genres by working with journals and radio stations. She has also published her poems and nano tales in various anthologies. She graduated at the top of her class with Bachelor's in English and recently completed her Master's in English from the University of Delhi. Her experiments with writing continue on her literary blog.

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Jamila Amari (456) 789-0123 [email protected] LinkedIn | Portfolio 144 Second Avenue, Raleigh, NC 23456

A Data Scientist with three years of professional experience, specializing in Python, machine learning, Big Data, and data management. Adept at performing statistical analysis on large, complex data sets to drive business intelligence and enhance data visualization.

Professional Experience

Junior Data Scientist, Omega Real Estate, Raleigh, NC July 2017 – Present

• Collaborate with team members to improve customer relationship management database, leading to improved customer service outcomes in a high-volume real estate firm
• Used predictive analytics including data mining techniques to forecast company sales with 94% accuracy
• Increase data security by updating encryption, IP security and wireless transmission processes

Data Scientist Intern, Delta Security, Raleigh, NC June 2016 – September 2016

• Gathered and analyzed information relating to system security and cyber threat intelligence
• Utilized analytics involving large datasets to improve models for cyber threat indicators
• Helped develop new algorithms to improve system accuracy and security
• Statistical Analysis
• Machine Learning
• Languages: C++, R, Python
• Data Management

Master of Science in Analytics North Carolina State University – Raleigh, Raleigh, NC, September 2015 – June 2017 Bachelor of Science in Mathematics University of Wisconsin – Madison, Madison, WI, September 2011 – June 2015

Joshua Robertson (789) 123-4560 [email protected] LinkedIn | Portfolio 2434 Third Road, San Antonio, TX 34567

An SAS certified Data Scientist with eight years of experience using predictive analytics and classical modeling techniques to provide valuable data insights for the financial industry. A proven track record of managing data analytics to support financial management, operations, and reporting for enterprise clients.

Data Scientist, Financial Data Consulting Inc., San Antonio, TX April 2016 – Present

• Deliver data science consulting services to enterprise clients within the financial sector valued at $20M-$35M, develop algorithms and analytical models using SAS, R, and Hadoop, and educate technical and non-technical audiences on findings and data trends
• Collaborate cross-functionally with data analytics, finance, and business intelligence departments to analyze complex financial data sets and improve forecasting methodologies for client businesses
• Utilize machine learning techniques to enhance financial reporting and data visualization

Data Scientist, Gamma Finance, Dallas, TX July 2012 – March 2016

• Analyzed datasets and communicated insights to business owners to assist with data-driven decision making
• Developed dashboards and reports that communicate a story and provide visualization of data in a way that can be best utilized by internal customers
• Evaluated business processes and recommend data science solutions to improve efficiency

Master in Data Science and Analytics University of Oklahoma, Norman, OK, September 2011 – June 2012 Bachelor of Science of Information Technology University of Tulsa, Tulsa, OK, September 2007 – June 2011

• Data Visualization
• Risk Analysis
• Software Engineering

Certifications

• Senior Data Scientist, Data Science Council of America, 2018
• SAS Certification, 2019

Elena Hernandez (321) 987-6543 [email protected] LinkedIn | Portfolio 552 Fourth Boulevard, Buffalo, NY 45678

A Senior Data Scientist with 10+ years of experience using machine learning, Big Data, and deep learning to deliver data-driven solutions for enterprise organizations. A proven track record of creating dynamic machine learning algorithms to enhance data visualization and drive positive business outcomes.

Senior Data Scientist, Omicron Biotech, Buffalo, NY January 2012 – Present

• Collect, study, and interpret large datasets of research results to enhance data-driven decision making for a $100M biotechnology company and develop advanced machine learning models
• Oversee a 20-person business intelligence team, manage data analytics on an enterprise scale, and ensure appropriate implementation of statistical analysis, predictive modeling, and deep learning approaches
• Communicate data using a variety of visualization approaches, including Power BI and Tableau

Data Scientist, Kappa Corporation, Albany, NY July 2009 – December 2011

• Led big data machine learning initiative to develop and deploy algorithms, which enhanced data visualization and supported a 200% increase in business growth over three years
• Developed model to accurately predict fraud activity, resulting in a 75% decrease in company losses
• Utilized R, Python and SAS to link data collected on-platform and off-platform to create thorough datasets that predict successful product development initiatives

Master of Science in Data Science New York University, New York, NY, September 2007 – June 2009 Bachelor of Arts in Computer Science University of California – Berkeley, Berkeley, CA, September 2003 – June 2007

• Experience leading multi-disciplinary teams
• Coding skills in R, Python, C++, Java
• Big data, data mining and data visualization
• Risk analysis and problem solving skills
• MySQL and JSON
• Microsoft Certified Solutions Expert, 2019
• SAS Certified Big Data Professional, 2017

John Bergsen (123) 456-7890 [email protected] LinkedIn | Portfolio Philadelphia, PA 12345 LinkedIn | Portfolio

A dynamic data scientist with six years of experience specializing in deep learning, AI, and ML. A strong history of developing cutting-edge deep learning modules to enhance data visualization and facilitate strategic decision-making.

Senior Data Scientist , Liberty Data Science Solutions, Philadelphia, PA October 2021 – present

• Manage and build a diverse team of developers, solution architects, and data scientists to develop state-of-the-art ML, AI, and deep learning solutions for enterprise clients valued at up to $32 million
• Develop project strategy, evaluate client business needs and requirements, and communicate concepts to non-technical stakeholders to drive AI adoption
• Perform comprehensive analysis of large data sets to ensure proper implementation of ML/AI solutions and drive positive business outcomes

Data Scientist , Starlight Technologies, Philadelphia, PA June 2018 – October 2021

• Managed and preprocessed large datasets, including cleaning, normalizing, and transforming data, resulting in a 17% improvement in model accuracy
• Collaborated with cross-functional teams, including software engineers and product managers, to develop and integrate deep learning models into the product suite, contributing to a 24% increase in user engagement
• Deep learning
• Data visualization
• Technical project management
• Certified Data Scientist (DASCA-CDS), Data Science Council of America, 2018

Bachelor of Science (B.S.) Data Science Temple University, Philadelphia, PA | June 2018

Meera Patel (123) 456-7890 [email protected] LinkedIn | Portfolio San Francisco, CA 12345 LinkedIn | Portfolio

A lead data scientist with seven years of experience specializing in predictive models, ML, team management, and cross-functional leadership. A proven track record of leading data science teams to develop sophisticated data science solutions and enhance business decision-making.

Lead Data Scientist , Rush Data Science Inc., San Francisco, CA October 2020 – present

• Lead a team of junior analysts to interpret complex data sets and develop predictive models using Python to enhance data-driven decision-making, contributing to a 34% increase in revenue over two years
• Create comprehensive data visualization reports using Tableau to support non-technical team members and stakeholders in understanding complex data patterns
• Build and analyze ML models and oversaw algorithm training to enhance effectiveness and accuracy of data analytics

Data Scientist , West Star Technologies, San Francisco, CA June 2017 – October 2020

• Analyzed and interpreted complex data sets using statistical tools, contributing to significant improvements in business decision-making and a 15% increase in revenue
• Developed ML algorithms using R, which improved the accuracy of predictive analytics by 25%
• Managed SQL databases, ensuring data integrity and accessibility for the entire data science team
• Data analytics
• Data integrity
• Certified Data Scientist (DASCA-CDS), Data Science Council of America, 2017

Bachelor of Science (B.S.) Data Science University of San Francisco, San Francisco, CA | June 2017

Amar Singh (123) 456-7890 [email protected] LinkedIn | Portfolio Miami, FL 12345 LinkedIn | Portfolio

A results-driven data scientist with six years of experience developing and implementing ML models, analyzing complex datasets, and collaborating with cross-functional teams to deliver scalable data science solutions for enterprise organizations.

Machine Learning Data Scientist , Coulthart Financial, Miami, FL | July 2021 present

• Develop and integrate scalable ML algorithms to enhance the product suite of an enterprise financial firm with over $200 million in assets under management (AUM)
• Manage and build a team of 15 data scientists, engineers, and developers, oversee all aspects of data analytics, and ensure proper implementation of ML techniques and predictive modeling
• Perform comprehensive data analysis to identify patterns and trends and leverage insights to enhance the effectiveness of data analytics

Machine Learning Data Scientist , Rosenberg Finance, Miami, FL June 2018 – October 2021

• Utilized Python and ML libraries to develop predictive models for the firm’s cloud services, contributing to a 16% increase in customer retention
• Conducted exploratory data analysis to inform the development of cloud services and new product features
• Coordinated cross-functionally with business analysts to analyze and translate business needs into technical requirements
• Statistical analysis
• Cross-functional collaboration
• Data analysis

Bachelor of Science (B.S.) Data Science University of Florida, Gainesville, FL | June 2018

Aliya Jackson (123) 456-7890 [email protected] LinkedIn | Portfolio New York, NY 12345 LinkedIn | Portfolio

An innovative data scientist with eight years of experience specializing in natural language processing, ML, and deep learning. A strong history of developing and integrating impactful data science solutions to enhance the delivery of patient care in clinical environments.

NLP Data Scientist , St. Augustine’s Hospital, New York, NY February 2019 – present

• Lead the development and implementation of ML, AI, and deep learning models to support the delivery of patient care for a 500-bed hospital, contributing to an 8% reduction in mortality rates
• Train and develop ML algorithms to aid the development of treatment plans based on symptoms, patient medical history, and medical risks
• Manage a team of seven data scientists and analysts, provide training, and deliver coaching to facilitate professional development

NLP Data Scientist , Brooklyn Children’s Hospital, New York, NY June 2016 – February 2019

• Developed and trained ML models for natural language processing tasks to provide valuable insights for clinical teams, resulting in a 17% reduction in response times and a 12% increase in patient satisfaction
• Collaborate cross-functionally with physicians and medical staff to enhance the effectiveness of predictive modeling
• Natural language processing (NLP)
• Predictive modeling
• Certified Data Scientist (DASCA-CDS), Data Science Council of America, 2016

Bachelor of Science (B.S.) Data Science University of Syracuse, New York, NY | June 2016

In the realm of burgeoning artificial intelligence (AI) and machine learning (ML) advancements, your data science resume should showcase your proficiency in this rapidly expanding technological domain. As you navigate the diverse opportunities within this field, a compelling resume, driven by notable achievements, becomes your primary tool for standing out amidst fierce competition. We’ll provide valuable insights to help translate your data science experience into a powerful marketing document.

1. Write a dynamic profile summarizing your data science qualifications

Creating an engaging snapshot of your data science career is the best way to draw the reader in. Start by listing your job title, years of experience, and three to four specializations that align with the job posting. In the subsequent sentences, establish yourself as a thought leader within your space.

For example, if you helped to pioneer the integration of ChatGPT and other AI solutions, you’d feature this information directly in your profile. If you played a key role in developing ML and deep learning solutions for autonomous vehicles, display these achievements directly in your summary. Providing these insights will help tell your story and highlight the value you can bring to prospective employers.

Senior-Level Profile Example

A senior data scientist with over 10 years of experience using ML, big data, and deep learning to deliver data-driven solutions for enterprise organizations. A proven track record of creating dynamic ML algorithms to enhance data visualization and drive positive business outcomes.

Entry-Level Profile Example

A data scientist with three years of professional experience specializing in Python, ML, Big Data, and data management. Adept at performing statistical analysis on large, complex data sets to drive business intelligence and enhance data visualization.

2. Outline your data science experience in a compelling list

To craft an accomplishment-driven professional experience section, create bullet points emphasizing your career achievements rather than job responsibilities. Companies are interested in results, and as a data scientist, you must demonstrate the bottom-line value of your contributions by incorporating data, metrics, and monetary figures.

Emphasize your ability to collaborate with cross-functional teams and translate complex technical concepts into accessible language, as you won’t always work solely with data scientists on every project.

Senior-Level Professional Experience Example

Senior Data Scientist Omicron Biotech, Buffalo, NY | October 2016 – present

• Collect, study, and interpret large datasets of research results to enhance data-driven decision-making for a $100 million biotechnology company
• Develop advanced ML models

Entry-Level Professional Experience Example

Data Scientist Omega Real Estate, Raleigh, NC | July 2021 – present

• Collaborated with team members to improve customer relationship management database, leading to improved customer service outcomes in a high-volume real estate firm
• Used predictive analytics, including data mining techniques, to forecast company sales with 94% accuracy
• Increased data security by updating encryption, IP security, and wireless transmission processes

3. Outline your education and data science-related certifications

In addition to your education, feature any relevant certifications you’ve achieved throughout your data science career. Although most employers will be more interested in your professional experience, obtaining other credentials won’t hurt your chances of landing the interview.

For instance, having a Certified Analytics Professional (CAP) credential could be useful for entry-level professionals, as the exam will help test your knowledge across a wide range of data science concepts. A certification alone won’t guarantee an interview for senior-level job seekers, but it will show prospective employers you’re committed to continuous learning.

• [Degree Name]
• [School Name], [City, State Abbreviation] – [Graduation Month and Year]
• Bachelor of Science (B.S.) Data Science
• Temple University, Philadelphia, PA – June 2016
• [Certification Name], [Awarding Organization] – [Completion Year]
• Microsoft Certified Solutions Expert, Microsoft – 2019
• SAS Certified Big Data Professional, SAS – 2017

4. List key data science skills and proficiencies

Most organizations rely on an applicant tracking system (ATS) to identify qualified candidates for job openings. To get your resume through the initial screening process and into the hiring manager’s hands, directly incorporate keywords from the job description into your profile, professional experience, and skills section. Below, you’ll find a list of key terms and skills that you may encounter while applying for data scientist positions:

5. Highlight your leadership and communication skills

Data science requires much more than crunching numbers. While it’s best to emphasize your data science hard skills and experiences, it’s also important to show hiring managers your leadership and communication skills. After you analyze data, you must be able to communicate your insights to team members, business units, and clients. This includes those who may not have a strong knowledge of data science. In addition to communication, employers look for people who can lead diverse teams and collaborate cross-functionally.

How To Pick the Best Data Scientist Resume Template

When selecting your template, prioritize structure and readability over visual appeal. Heavy colors and bulky graphics may look nice, but they can distract the reader from your content. Seek a template that organizes your content effectively and fits your brand. Hiring managers will always be more interested in your achievements and qualifications than the style of your template.

Frequently Asked Questions: Data Science Resume Examples and Advice

What are common action verbs for data science resumes -.

Action verbs help hiring managers visualize your contributions, but it’s easy to run short on action verbs during the resume-building process. Differentiating your word choice can enhance the quality of your bullet points and eliminate the appearance of redundancy.

Use these action verbs to craft your professional experience section:

How do you align your resume with a data scientist job description? -

According to the Bureau of Labor Statistics , jobs for data scientists (computer and information research scientists) are projected to grow by 21% from 2021 to 2031, faster than average for most occupations. This growth is primarily driven by the advancement of AI technologies and ML, which have become increasingly important for businesses.

Although these projections are highly optimistic, you must align your resume with the job description to secure interviews for the most lucrative opportunities. Data science is a highly competitive field, and tailoring your document to individual job postings will significantly increase your chances of landing your next job opportunity.

For example, suppose a company is looking for an expert in ML. In that case, you’d highlight further your knowledge of deep learning, supervised learning, and unsupervised learning to substantiate yourself as a thought leader in your space.

What is the best data science resume format? -

Reverse chronological format is ideal for data science resumes. This approach ensures your most recent and relevant experience is featured at the top of your document. It’s best to avoid functional resume formats even at the entry level. If you lack hands-on experience, you’d still be much better served by illustrating your academic projects than only listing technical skills.

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Providing a matching cover letter is a great way to help your application stand out in the open market. The cover letter allows you to tell prospective employers more about who you are as a professional and the value you can bring to their organization. In the middle paragraphs, mention something about the company’s reputation or mission statement and why this draws you to apply for the position. For more insights, view our data scientist cover letter guide .

Frank Hackett

Certified Professional Resume Writer (CPRW)

Frank Hackett is a professional resume writer and career consultant with over eight years of experience. As the lead editor at a boutique career consulting firm, Frank developed an innovative approach to resume writing that empowers job seekers to tell their professional stories. His approach involves creating accomplishment-driven documents that balance keyword optimization with personal branding. Frank is a Certified Professional Resume Writer (CPRW) with the Professional Association of Resume Writers and Career Coaches (PAWRCC).

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